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Python Data Jobs in Maryland (NOW HIRING)

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Job Brief Python, Jupyter, AI Are you VIGILANT about your career? RealmOne definitely is! RealmOne ... We are seeking a Data Scientist to support the understanding, identification, and mapping of large ...

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Strong proficiency in Python or other programming languages relevant to data engineering. * Any additional experience with any of the following: * Hands-on experience with data pipeline orchestration ...

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Strong proficiency in Python or other programming languages relevant to data engineering. * Any additional experience with any of the following: * Hands-on experience with data pipeline orchestration ...

Data Engineer

Suitland, MD

$123K - $148K/yr

Strong proficiency in Python or other programming languages relevant to data engineering. * Any additional experience with any of the following: * Hands-on experience with data pipeline orchestration ...

Data Analyst 2

Annapolis, MD · On-site

$110K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Job Brief Python, AI/ML frameworks RealmOne was built on the principle that people matter first and ... This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic ...

Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse ...

PYTHON DEVELOPER

Suitland, MD · On-site

$54.25 - $74.75/hr

PYTHON DEVELOPER Location: Suitland, MD Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract ... Spring Data, Hibernate / MyBatis, JPA, Eclipse IDE / Visual Studio Code IDE. * 3+ years of ...

Python Tutor

Laurel, MD · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

College Park, MD · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Rockville, MD · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Baltimore, MD · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Bowie, MD · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Showing results 21-40

Python Data information

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What are the key skills and qualifications needed to thrive as a Python Data professional, and why are they important?

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

What job categories do people searching Python Data jobs in Maryland look for?

The top searched job categories for Python Data jobs in Maryland are:

Infographic showing various Python Data job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Contractor

Re-posted 22 days ago


Job description

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  • IT IS 100 % On Site position in Woodlawn
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  • Selected candidate must be able to obtain and maintain a public trust clearance
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  • Selected candidate must be willing to work on\-site in Woodlawn, MD 5 days a week
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    \n KEY REQUIRED SKILLS:<\/b><\/u><\/span><\/span><\/span><\/span>
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    • Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction concepts including Named Entity Recognition, Blocking and Indexing, String Distance Metrics, TF\-IDF\/Cosine Similarity, Phonetics Encoding, Address Standardization
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    • Solid Python, Regex, and SQL experience
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    • Excellent Communication skills<\/b>
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      \n POSITION DESCRIPTION:<\/b><\/span><\/u><\/span><\/span>
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      • Develop Analytics Solutions:<\/b> Design, implement, and maintain advanced data processing and entity resolution pipelines using Python and SQL on enterprise data platforms.
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      • Data Hygiene & Management:<\/b> Clean, transform, and manage large\-scale datasets from diverse, complex sources, ensuring absolute data integrity, reliability, and security.
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      • Performance Optimization: <\/b>Optimize complex SQL queries and database operations to ensure efficient data access, processing, and scalability.
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      • Engineering Standards<\/b>: Actively participate in code reviews, enforce version control, and uphold best practices for code quality, reproducibility, and data privacy.
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      • End\-to\-End Delivery: <\/b>Support data validation, testing, deployment, and post\-implementation monitoring in a fast\-paced environment.<\/span><\/span>
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        Requirements<\/h3>

        BASIC QUALIFICATIONS:<\/b><\/u><\/span><\/span>
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        • Master's and 10+ years of experience, Bachelor's and 12+ years of experience or 18+ years in lieu of a degree<\/b>
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        • Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with experience in NLP, Text Processing, Information Extraction, Python, SQL, Regex and specialized libraries\/frameworks.
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        • Overall 10+ years' experience in IT industry<\/span><\/span><\/span>
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          REQUIRED SKILLS:<\/b><\/u><\/span><\/span>
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          • Strong practical experience with Natural Language Processing (NLP), Text Processing, and Information Extraction including:
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          • Practical knowledge of Named Entity Recognition and Address Standardization to extract and clean unstructured text data.
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          • Deep understanding of data matching strategies, including Blocking and Indexing, String Distance Metrics, and Phonetic Encoding.
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          • Experience applying TD\-IDF and Cosine Similarity for text comparisons and information retrieval.
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          • Strong Python development skills for building analytics solutions and manipulating data.
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          • Advanced SQL proficiency for complex data querying, optimization, and database operations.
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          • Practical experience using Regex for advanced text processing, data cleansing, and pattern matching.
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          • Familiarity with specialized libraries and frameworks including:
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          • Linkage libraries such as Splink \/ FastLink, Dedupe, or recordlinkage
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          • Core Python data science libraries, specifically spaCy for NLP tasks and Scikit\-Learn for general machine learning and clustering
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          • Familiarity with code reviews, version control, and maintaining data security and reproducibility standards.
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          • Excellent communication skills.<\/span><\/span><\/span>
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            DESIRED SKILLS:<\/b><\/u><\/span><\/span>
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            • Prior experience delivering IT or data initiatives within federal, state, or local government environments <\/span>
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            • Proven ability to operate independently, take ownership of data pipeline architectures, and drive projects from data discovery through to post\-implementation.<\/span>
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            • Experience retrieving, migrating, and manipulating data from legacy and distributed systems, including PostgreSQL, DB2, Oracle, SQL Server, and Hadoop, as well as unstructured flat files.<\/span>
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            • Experience utilizing Jenkins to automate continuous integration, testing, and deployment (CI\/CD) for data validation pipelines.<\/span>
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            • Experience with pipeline automation tools to schedule and monitor complex data cleansing jobs.<\/span>
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            • Strong ability to translate complex algorithmic decisions (such as probabilistic match thresholds) into clear business logic for executive leadership and non\-technical stakeholders.<\/span><\/span><\/span>
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            • Excellent problem\-solving skills and proven verbal\/written communication skills when collaborating across cross\-functional teams.
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